A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems. - Daniel Brüderle; Mihai A. Petrovici; Bernhard Vogginger; Matthias Ehrlich; Thomas Pfeil; Sebastian Millner; Andreas Grübl; Karsten Wendt; Eric Müller 001; Marc-Olivier Schwartz; Dan Husmann de Oliveira; Sebastian Jeltsch; et al. (Biol. Cybern., 2011)

Bridging the gap between software simulation and emulation on neuromorphic hardware: An investigation of causes, effects and compensation of network-level anomalies in a mixed-signal waferscale neuromorphic modeling platform. - Mihai A. Petrovici; Bernhard Vogginger; Paul Müller 002; Oliver Breitwieser; Mikael Lundqvist; Lyle Muller; Matthias Ehrlich; Alain Destexhe; Anders Lansner; René Schüffny; Johannes Schemmel; Karlheinz Meier (CoRR, 2014)

Robustness from structure: Inference with hierarchical spiking networks on analog neuromorphic hardware. - Mihai A. Petrovici; Anna Schroeder; Oliver Breitwieser; Andreas Grübl; Johannes Schemmel; Karlheinz Meier (IJCNN, 2017)

Pattern representation and recognition with accelerated analog neuromorphic systems. - Mihai A. Petrovici; Sebastian Schmitt; Johann Klähn; Robert D. St. Louis; Anna Schroeder; Guillaume Bellec; Johannes Bill; Oliver Breitwieser; Ilja Bytschok; Andreas Grübl; Maurice Güttler; Andreas Hartel; et al. (ISCAS, 2017)

Pattern representation and recognition with accelerated analog neuromorphic systems. - Mihai A. Petrovici; Sebastian Schmitt; Johann Klähn; David Stöckel; Anna Schroeder; Guillaume Bellec; Johannes Bill; Oliver Breitwieser; Ilja Bytschok; Andreas Grübl; Maurice Güttler; Andreas Hartel; et al. (CoRR, 2017)

Spiking neurons with short-term synaptic plasticity form superior generative networks. - Luziwei Leng; Roman Martel; Oliver Breitwieser; Ilja Bytschok; Walter Senn; Johannes Schemmel; Karlheinz Meier; Mihai A. Petrovici (CoRR, 2017)

Generative models on accelerated neuromorphic hardware. - Ákos F. Kungl; Sebastian Schmitt; Johann Klähn; Paul Müller 002; Andreas Baumbach; Dominik Dold; Alexander Kugele; Nico Gürtler; Luziwei Leng; Eric Müller 001; Christoph Koke; Mitja Kleider; et al. (CoRR, 2018)

Fast and deep neuromorphic learning with time-to-first-spike coding. - Julian Göltz; Andreas Baumbach; Sebastian Billaudelle; Oliver Breitwieser; Dominik Dold; Laura Kriener; Ákos Ferenc Kungl; Walter Senn; Johannes Schemmel; Karlheinz Meier; Mihai A. Petrovici (CoRR, 2019)

Stochasticity from function - Why the Bayesian brain may need no noise. - Dominik Dold; Ilja Bytschok; Ákos F. Kungl; Andreas Baumbach; Oliver Breitwieser; Walter Senn; Johannes Schemmel; Karlheinz Meier; Mihai A. Petrovici (Neural Networks, 2019)

Versatile Emulation of Spiking Neural Networks on an Accelerated Neuromorphic Substrate. - Sebastian Billaudelle; Yannik Stradmann; Korbinian Schreiber; Benjamin Cramer; Andreas Baumbach; Dominik Dold; Julian Göltz; Ákos Ferenc Kungl; Timo C. Wunderlich; Andreas Hartel; Eric Müller 001; Oliver Breitwieser; et al. (ISCAS, 2020)

Live Demonstration: Versatile Emulation of Spiking Neural Networks on an Accelerated Neuromorphic Substrate. - Sebastian Billaudelle; Yannik Stradmann; Korbinian Schreiber; Benjamin Cramer; Andreas Baumbach; Dominik Dold; Julian Göltz; Ákos Ferenc Kungl; Timo C. Wunderlich; Andreas Hartel; Eric Müller 001; Oliver Breitwieser; et al. (ISCAS, 2020)

Fast and deep neuromorphic learning with first-spike coding. - Julian Göltz; Andreas Baumbach; Sebastian Billaudelle; Ákos F. Kungl; Oliver Breitwieser; Karlheinz Meier; Johannes Schemmel; Laura Kriener; Mihai A. Petrovici (NICE, 2020)

hxtorch: PyTorch for BrainScaleS-2 - Perceptrons on Analog Neuromorphic Hardware. - Philipp Spilger; Eric Müller 001; Arne Emmel; Aron Leibfried; Christian Mauch; Christian Pehle; Johannes Weis; Oliver Breitwieser; Sebastian Billaudelle; Sebastian Schmitt; Timo C. Wunderlich; Yannik Stradmann; et al. (IoT Streams/ITEM@PKDD/ECML, 2020)

Inference with Artificial Neural Networks on Analog Neuromorphic Hardware. - Johannes Weis; Philipp Spilger; Sebastian Billaudelle; Yannik Stradmann; Arne Emmel; Eric Müller 001; Oliver Breitwieser; Andreas Grübl; Joscha Ilmberger; Vitali Karasenko; Mitja Kleider; Christian Mauch; et al. (IoT Streams/ITEM@PKDD/ECML, 2020)

Extending BrainScaleS OS for BrainScaleS-2. - Eric Müller 001; Christian Mauch; Philipp Spilger; Oliver Julien Breitwieser; Johann Klähn; David Stöckel; Timo Wunderlich; Johannes Schemmel (CoRR, 2020)

Fast and energy-efficient neuromorphic deep learning with first-spike times. - Julian Göltz; Laura Kriener; Andreas Baumbach; Sebastian Billaudelle; Oliver Breitwieser; Benjamin Cramer; Dominik Dold; Ákos F. Kungl; Walter Senn; Johannes Schemmel; Karlheinz Meier; Mihai A. Petrovici (Nat. Mach. Intell., 2021)

Learning by Tooling: Novel Neuromorphic Learning Strategies in Reproducible Software Environments. - Oliver Julien Breitwieser (2021)

A Scalable Approach to Modeling on Accelerated Neuromorphic Hardware. - Eric Müller 001; Elias Arnold; Oliver Breitwieser; Milena Czierlinski; Arne Emmel; Jakob Kaiser; Christian Mauch; Sebastian Schmitt; Philipp Spilger; Raphael Stock; Yannik Stradmann; Johannes Weis; et al. (CoRR, 2022)

Demonstrating Analog Inference on the BrainScaleS-2 Mobile System. - Yannik Stradmann; Sebastian Billaudelle; Oliver Breitwieser; Falk Leonard Ebert; Arne Emmel; Dan Husmann; Joscha Ilmberger; Eric Müller 001; Philipp Spilger; Johannes Weis; Johannes Schemmel (IEEE Open J. Circuits Syst., 2022)

Cortical oscillations support sampling-based computations in spiking neural networks. - Agnes Korcsak-Gorzo; Michael G. Müller; Andreas Baumbach; Luziwei Leng; Oliver Julien Breitwieser; Sacha J. van Albada; Walter Senn; Karlheinz Meier; Robert Legenstein; Mihai A. Petrovici (PLoS Comput. Biol., 2022)